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Advanced SURF Features Based Flexible Object Detection | IEEE Conference Publication | IEEE Xplore
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Advanced SURF Features Based Flexible Object Detection


Abstract:

On the modern assembly line, the posture of flexible products can be distorted or stacked on each other, which is difficult for methods currently in effect to ensure the ...Show More

Abstract:

On the modern assembly line, the posture of flexible products can be distorted or stacked on each other, which is difficult for methods currently in effect to ensure the precision with current methods. To solve this problem, we demonstrate our method on ABB Yumi robot for flexible object detection based on SURF features with color channel prior and marginal feature optimization. Our method achieved 97.99% accuracy, which is 7.67% better than vanilla SURF.
Date of Conference: 06-08 December 2019
Date Added to IEEE Xplore: 20 January 2020
ISBN Information:
Conference Location: Dali, China

References

References is not available for this document.